Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/lib/python3.14/site-packages/numpy/f2py/_src_pyf.pyi from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/_src_pyf.pyi
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/f2py/_src_pyf.pyi
-
curl -L -o _src_pyf.pyi https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/_src_pyf.pyi
1.01 kB
| import re | |
| from _typeshed import StrOrBytesPath | |
| from collections.abc import Mapping | |
| from typing import Final | |
| routine_start_re: Final[re.Pattern[str]] = ... | |
| routine_end_re: Final[re.Pattern[str]] = ... | |
| function_start_re: Final[re.Pattern[str]] = ... | |
| template_re: Final[re.Pattern[str]] = ... | |
| named_re: Final[re.Pattern[str]] = ... | |
| list_re: Final[re.Pattern[str]] = ... | |
| item_re: Final[re.Pattern[str]] = ... | |
| template_name_re: Final[re.Pattern[str]] = ... | |
| include_src_re: Final[re.Pattern[str]] = ... | |
| def parse_structure(astr: str) -> list[tuple[int, int]]: ... | |
| def find_repl_patterns(astr: str) -> dict[str, str]: ... | |
| def find_and_remove_repl_patterns(astr: str) -> tuple[str, dict[str, str]]: ... | |
| def conv(astr: str) -> str: ... | |
| # | |
| def unique_key(adict: Mapping[str, object]) -> str: ... | |
| def expand_sub(substr: str, names: dict[str, str]) -> str: ... | |
| def process_str(allstr: str) -> str: ... | |
| # | |
| def resolve_includes(source: StrOrBytesPath) -> list[str]: ... | |
| def process_file(source: StrOrBytesPath) -> str: ... | |